Electronic Commerce is now seen as the future direction of commerce. Organisations are now developing and implementing a wide range of electronic commerce systems However, before o...
A long-standing goal of the programming by demonstration research community is to enable people to construct programs by showing how the desired programs should work on sample inp...
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
This paper presents a new pruning method to determine a nearly optimum multi-layer neural network structure. The aim of the proposed method is to reduce the size of the network by ...